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09/06/2023
An Offline Learning Approach to Propagator Models
We consider an offline learning problem for an agent who first estimates...
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08/01/2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction
While 3D body reconstruction methods have made remarkable progress recen...
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06/25/2023
A Neural RDE approach for continuous-time non-Markovian stochastic control problems
We propose a novel framework for solving continuous-time non-Markovian s...
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05/11/2023
SigRec: Automatic Recovery of Function Signatures in Smart Contracts
Millions of smart contracts have been deployed onto Ethereum for providi...
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01/12/2023
Statistical Learning with Sublinear Regret of Propagator Models
We consider a class of learning problems in which an agent liquidates a ...
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11/01/2022
Convergence of policy gradient methods for finite-horizon stochastic linear-quadratic control problems
We study the global linear convergence of policy gradient (PG) methods f...
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10/13/2022
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning
APP-installation information is helpful to describe the user's character...
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06/01/2022
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks
Building Integrated Photovoltaics (BIPV) is a promising technology to de...
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03/22/2022
Linear convergence of a policy gradient method for finite horizon continuous time stochastic control problems
Despite its popularity in the reinforcement learning community, a provab...
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04/19/2021
Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls
We study finite-time horizon continuous-time linear-convex reinforcement...
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10/05/2020
Learning the aerodynamic design of supercritical airfoils through deep reinforcement learning
The aerodynamic design of modern civil aircraft requires a true sense of...
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09/17/2020
Regularity and time discretization of extended mean field control problems: a McKean-Vlasov FBSDE approach
We analyze the solution regularity and discrete-time approximations of e...
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07/15/2020
A posteriori error estimates for fully coupled McKean-Vlasov forward-backward SDEs
Fully coupled McKean-Vlasov forward-backward stochastic differential equ...
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06/24/2020
Understanding Deep Architectures with Reasoning Layer
Recently, there has been a surge of interest in combining deep learning ...
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01/09/2020
Regularity and stability of feedback relaxed controls
This paper proposes a relaxed control regularization with general explor...
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06/05/2019
A neural network based policy iteration algorithm with global H^2-superlinear convergence for stochastic games on domains
In this work, we propose a class of numerical schemes for solving semili...
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03/15/2019
Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems
In this paper, we establish that for a wide class of controlled stochast...
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04/08/2018